Vacancies: Armenia

MLOps Engineer

Position Overview

DataArt is a global software engineering firm. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. DataArt started out as a company of friends and has a special culture that distinguishes it from other IT outsourcers, such as:

- Flat structure. There are no “bosses” and “subordinates”.

- We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.

- Flexible schedule, ability to change projects, to work from home, to try yourself in different roles.

- Minimal bureaucracy and micromanagement, convenient corporate services.

ABOUT DATAART

Required Skills and Experience

  • Experience in administering cloud-based platforms (AWS, GCP, Azure)
  • Understanding the principles of building distributed and serverless systems
  • Knowledge of components and services of one or more cloud-based platforms (AWS, GCP, Azure)
  • Understanding the main principles of container-based platforms and tools
  • Experience working with/administering Kubernetes in its various flavours (e.g. on-prem, AWS EKS, Google K8s, Azure, OpenShift )
  • Experience in implementing infrastructure as code (e.g. Terraform, AWS CloudFormation, GCP Cloud Deployment Manager, Helm)
  • Experience with/theoretical understanding of building continuous delivery/continuous deployment
  • Knowledge of development methodologies, particularly with Agile/Scrum
  • Good spoken English

Nice to have

  • Understanding of general ML/AI landscape and major areas of applications
  • Understanding of typical ML/AI software development lifecycle (e.g. experiment management, model training, hyperparameters optimisation, model serving)
  • Knowledge/theoretical understanding of typical ML tools and frameworks (e.g. Jupyter, TensorFlow, Keras, Pytorch, Katib, etc.)
  • Experience with one or more MLOps platforms (AWS Sagemaker, Google AI TFX, Kubeflow, MLFlow, Domino Labs, neu.ro etc.)
  • Experience with orchestration/configuration management tools (Ansible, Chef, etc.)
  • Main cloud providers’ certification (AWS, Azure, GCP)

Please send your CV and cover letter

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of bias including age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. DataArt is committed to providing a working environment free from harassment and bullying and ensuring all staff are treated, and treat others, with dignity and respect. Our commitment to promoting equal opportunities and creating the workplace free of harassment and discrimination is supported by the implementation of respective policies and controls, provides an appropriate environment to encourage good performance and conduct at all its working locations, at all times.

Join Us

Why DataArt?

  • People first

    • Commitment to people is by far the highest value for DataArt
    • 99% of Glassdoor reviewers would recommend DataArt to a friend as a place to work
    • DataArt offers a rare work/life balance (Glassdoor work/life balance rating of 4.7)
    • DataArt invests in long-term relationships with its employees
  • Flexibility

    • Minimum bureaucracy
    • Flexible work schedule
    • Well-organized system of administrative services
    • Flat, decentralized structure
    • There are very few strict rules within DataArt
    • While our values do not change, rules and policies are subject to discussion and change in response to changing context and circumstances
  • Expertise

    • Highly qualified professionals
    • Supportive learning environment
  • Trust

    • We don't believe in control or surveillance
    • We avoid micromanagement
    • Clear, universal rules and policies
    • Open and accessible management
More About DataArt Values and Benefits

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